Many data science or algorithm metrics are useful to know, such as MAE and RMSE, but there are other metrics that can be more meaningful to stakeholders and your organization as a whole. It is equally vital to comprehend, practice, and put into action, despite the fact that it is not as well-taught in academic contexts.
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